ByteDance/Hyper-SD

text-to-image model by ByteDance

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Official Repository of the paper: Hyper-SD. Project Page: https://hyper-sd.github.io/ Hyper-SD Scribble demo host on 🤗 scribble Hyper-SDXL One-step Text-to-Image demo host on 🤗 T2I Hyper-SD is one of the new State-of-the-Art diffusion model acceleration techniques. In this repository, we release the models distilled from FLUX.1-dev, SD3-Medium, SDXL Base 1.0 and Stable-Diffusion v1-5。 Take the 2-steps LoRA as an example, you can also use other LoRAs for the corresponding inference steps setting. You can flexibly adjust the number of inference steps and eta value to achieve best performance. Only for the single step inference. Take…

ByteDance/Hyper-SD on Hugging Face A short preview, not the full document.

Read the full model card ↗ · Preview checked 2026-10-28T14:29:01.959Z

Inside the original model card — Document outline
  1. Hyper-SD
  2. News🔥🔥🔥
  3. Try our Hugging Face demos:
  4. Introduction
  5. Checkpoints
  6. Text-to-Image Usage
  7. FLUX.1-dev-related models
  8. SD3-related models
  9. SDXL-related models
  10. 2-Steps, 4-Steps, 8-steps LoRA
  11. Unified LoRA (support 1 to 8 steps inference)
  12. 1-step SDXL Unet

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Model overview

ByteDance/Hyper-SD is a text-to-image model repository published by ByteDance on Hugging Face. The source reports the diffusers library.

This page summarizes Hub metadata. For intended use, training data, evaluation results and limitations, consult the original model card.

Model facts

Task
text-to-image
Library
diffusers
Recent downloads (30 days)
82,063
Cumulative likes
1,366
Hugging Face trending score
0
Reported safetensors parameters
Not reported
Architecture
Not reported
License
Not reported — check the model card
Access
Not gated by Hugging Face
Created
2024-04-20T06:34:54.000Z
Last modified
2024-12-05T09:02:21.000Z

Compatibility and lineage

Language coverage was not reported.

Reported base models: black-forest-labs/FLUX.1-dev

Parameter count is not a RAM/VRAM requirement. Check precision, quantization, context length and runtime compatibility in the model card; no hardware or API-cost claim is inferred here.

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Model card and usage instructions

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Source and freshness

Source: Hugging Face Hub. Metadata observed 2026-11-01T06:51:31.475Z. Daily imports are snapshots, not real-time monitoring.

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